Title
Improving Facial Attribute Recognition by Group and Graph Learning
Abstract
Exploiting the relationships between attributes is a key challenge for improving multiple facial attribute recognition. In this work, we are concerned with two types of correlations that are spatial and non-spatial relationships. For the spatial correlation, we aggregate attributes with spatial similarity into a part-based group and then introduce a Group Attention Learning to generate the group a...
Year
DOI
Venue
2021
10.1109/ICME51207.2021.9428078
2021 IEEE International Conference on Multimedia and Expo (ICME)
Keywords
DocType
ISBN
Correlation,Face recognition,Conferences,Aggregates,Neural networks,Facial features
Conference
978-1-6654-3864-3
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Zhenghao Chen182.14
Shuhang Gu270128.25
Feng Zhu300.34
jing xu45024.51
Zhao Rui5104834.99